Tag: scaling efficiency
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Cloud Blog: GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/benchmarking-a-65000-node-gke-cluster-with-ai-workloads/ Source: Cloud Blog Title: GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads Feedly Summary: At Google Cloud, we’re continuously working on Google Kubernetes Engine (GKE) scalability so it can run increasingly demanding workloads. Recently, we announced that GKE can support a massive 65,000-node cluster, up from 15,000 nodes. This…
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Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU
Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…
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Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…